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Ethical and legal aspects of research data management

Research data management at KTH should be done according to the KTH guidelines on managing research data. In the guidelines, the overall legal principles for research data management are outlined. But different legal frameworks apply for different types of research data, more information can be found at this page.

KTH guidelines on managing research data

Data management in accordance with good research practice – considering ethical aspects

There are several declarations and ethical principles relevant for handling data in accordance with good research practice. An overview is provided in the Swedish Research Council’s most recently published version on good research practice

If your research concerns an area that may involve indigenous rights, it is advisable to be familiar with the CARE Principles .

If you collect personal data, it is important to take into account principles for the protection of personal integrity and to make a careful selection of research participants with respect for fairness, in order to obtain a representative sample in your study. In many other cases where technology is developed that affects people in society, ethical risks may also arise. Certain types of research additionally require ethical approval .

KTH as a public authority – the principle of public access to official documents

KTH is a state university and is therefore subject to the Swedish Principle of Public Access to Official Documents. This means that research data are generally considered public records, except in cases where confidentiality applies under the Public Access to Information and Secrecy Act. Anyone requesting access to a public document has the right to have their request reviewed. Grounds for confidentiality may include, for example, that a dataset contains sensitive personal data.

Read more about the principle of public access and public records  (in Swedish)

Data management in research collaboration – important to clarify responsibilities

If you conduct research in collaboration with others, there are often agreements or arrangements between the collaborating partners. If your research is externally funded, requirements for data management may also be included in the funder’s terms and conditions.

When it comes to data management, it is important to clearly state which organisation is the main responsible party for the funded project, and who is responsible for managing the data during the course of the collaborative research activities. A Data Management Plan (DMP) can be a useful way to clarify and document who is responsible for handling the data. Read more on the page Plan and document .

In a collaboration agreement between different parties in a research project, it should also be stated when confidentiality applies to data collected or generated within the collaboration.

It should furthermore be verified who holds the rights to any intellectual property (IP), such as copyrighted material or patentable inventions. Depending on the type of data generated in the research project, other agreements, permits, or risk assessments may also be required.

Anyone handling research data should, for instance, consider whether the planned research could cause suffering or other risks to living persons or experimental animals. Such research may require ethical review. There may also be other types of risks associated with data management – for example, export control  regulations may apply in certain cases.

Read more below about the legal frameworks that are useful for researchers to be aware of when planning and conducting research.